Comments

The paper was submitted to the Encyclopedia of Genomics, Proteomics
and Bioinformatics, edited by Michael Dunn, Lynn Jorde, Peter Little
and Shankar Subramaniam, to be published by John Wiley & Sons Ltd.

Abstract

We derive the additive-multiplicative error model for microarray intensities, and describe two applications. For the detection of differentially expressed genes, we obtain a statistic whose variance is approximately independent of the mean intensity. For the post hoc calibration (normalization) of data with respect to experimental factors, we describe a method for parameter estimation.